{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "%load_ext autoreload\n",
    "%autoreload 2\n",
    "\n",
    "import os\n",
    "import sys\n",
    "import copy\n",
    "\n",
    "import numpy as np\n",
    "\n",
    "import astropy.units as u\n",
    "from astropy import wcs\n",
    "from astropy.io import fits\n",
    "from astropy.coordinates import SkyCoord\n",
    "from astropy.visualization import make_lupton_rgb\n",
    "from astropy.utils.data import download_file, clear_download_cache\n",
    "\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "# Get table list from /Users/song/Dropbox/work/project/unagi/unagi/data/s20a_wide/s20a_wide_tables.fits\n"
     ]
    }
   ],
   "source": [
    "from unagi import hsc\n",
    "from unagi import mask\n",
    "from unagi import config\n",
    "from unagi import plotting\n",
    "from unagi.task import hsc_cutout\n",
    "\n",
    "#pdr2 = hsc.Hsc(dr='pdr2', rerun='pdr2_wide')\n",
    "# For testing the new internal data release. If you need the public data release, you can use the above one.\n",
    "pdr2 = hsc.Hsc(dr='dr3', rerun='s20a_wide')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Example of a mask plane"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "# Retrieving cutout image in filter: i\n"
     ]
    }
   ],
   "source": [
    "# Download an example mask plane\n",
    "coord = SkyCoord(150.0913, 2.2059, frame='icrs', unit='deg')\n",
    "\n",
    "cutout_test = hsc_cutout(coord, cutout_size=20.0 * u.arcsec, filters='i', archive=pdr2, \n",
    "                         use_saved=False, verbose=True, save_output=False, mask=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### \"Library\" of mask planes\n",
    "\n",
    "* HSC data reduced by different versions of `hscPipe` have different number and definitions for the bitmask planes. \n",
    "* For example, `PDR1` has 16 allowed bitmask planes, while internal `DR2` has 32 mask planes.  \n",
    "* Not all mask planes are used, some of them are just placeholders for future usage."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<i>Table length=17</i>\n",
       "<table id=\"table4550050240-459586\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>idx</th><th>bits</th><th>name</th><th>meaning</th><th>color</th><th>value</th></tr></thead>\n",
       "<tr><td>0</td><td>0</td><td>BAD</td><td>Bad pixel</td><td>red</td><td>1</td></tr>\n",
       "<tr><td>1</td><td>1</td><td>SAT</td><td>Source footprint includes saturated pixels</td><td>tab:purple</td><td>2</td></tr>\n",
       "<tr><td>2</td><td>2</td><td>INTRP</td><td>Source footprint includes interpolated pixels</td><td>tab:orange</td><td>4</td></tr>\n",
       "<tr><td>3</td><td>3</td><td>CR</td><td>Source footprint includes suspected CR pixels</td><td>tab:pink</td><td>8</td></tr>\n",
       "<tr><td>4</td><td>4</td><td>EDGE</td><td>Source is close to the edge of the CCD</td><td>tab:olive</td><td>16</td></tr>\n",
       "<tr><td>5</td><td>5</td><td>DETECTED</td><td>Pixel with detection above the threshold</td><td>tab:blue</td><td>32</td></tr>\n",
       "<tr><td>6</td><td>6</td><td>DETECTED_NEGATIVE</td><td>Pixel in footprint that is detected as a negative object</td><td>gray</td><td>64</td></tr>\n",
       "<tr><td>7</td><td>7</td><td>SUSPECT</td><td>Source footprint includes suspect pixels</td><td>orangered</td><td>128</td></tr>\n",
       "<tr><td>8</td><td>8</td><td>NO_DATA</td><td>No useful data</td><td>black</td><td>256</td></tr>\n",
       "<tr><td>9</td><td>9</td><td>BRIGHT_OBJECT</td><td>Bright star mask</td><td>tab:brown</td><td>512</td></tr>\n",
       "<tr><td>10</td><td>10</td><td>CROSSTALK</td><td>Crosstalk</td><td>rosybrown</td><td>1024</td></tr>\n",
       "<tr><td>11</td><td>11</td><td>NOT_DEBLENDED</td><td>Pixel in footprint that is too large to deblend</td><td>teal</td><td>2048</td></tr>\n",
       "<tr><td>12</td><td>12</td><td>UNMASKEDNAN</td><td>NaN pixels that are interpolated over</td><td>darkgreen</td><td>4096</td></tr>\n",
       "<tr><td>13</td><td>13</td><td>REJECTED</td><td>Rejected due to a mask other than EDGE, NO_DATA, or CLIPPED</td><td>violet</td><td>8192</td></tr>\n",
       "<tr><td>14</td><td>14</td><td>CLIPPED</td><td>Pixel that has been clipped</td><td>crimson</td><td>16384</td></tr>\n",
       "<tr><td>15</td><td>15</td><td>SENSOR_EDGE</td><td>Pixel close to the edge of CCD sensor</td><td>tab:olive</td><td>32768</td></tr>\n",
       "<tr><td>16</td><td>16</td><td>INEXACT_PSF</td><td>PSF is not correct</td><td>gold</td><td>65536</td></tr>\n",
       "</table><style>table.dataTable {clear: both; width: auto !important; margin: 0 !important;}\n",
       ".dataTables_info, .dataTables_length, .dataTables_filter, .dataTables_paginate{\n",
       "display: inline-block; margin-right: 1em; }\n",
       ".paginate_button { margin-right: 5px; }\n",
       "</style>\n",
       "<script>\n",
       "\n",
       "var astropy_sort_num = function(a, b) {\n",
       "    var a_num = parseFloat(a);\n",
       "    var b_num = parseFloat(b);\n",
       "\n",
       "    if (isNaN(a_num) && isNaN(b_num))\n",
       "        return ((a < b) ? -1 : ((a > b) ? 1 : 0));\n",
       "    else if (!isNaN(a_num) && !isNaN(b_num))\n",
       "        return ((a_num < b_num) ? -1 : ((a_num > b_num) ? 1 : 0));\n",
       "    else\n",
       "        return isNaN(a_num) ? -1 : 1;\n",
       "}\n",
       "\n",
       "require.config({paths: {\n",
       "    datatables: 'https://cdn.datatables.net/1.10.12/js/jquery.dataTables.min'\n",
       "}});\n",
       "require([\"datatables\"], function(){\n",
       "    console.log(\"$('#table4550050240-459586').dataTable()\");\n",
       "    \n",
       "jQuery.extend( jQuery.fn.dataTableExt.oSort, {\n",
       "    \"optionalnum-asc\": astropy_sort_num,\n",
       "    \"optionalnum-desc\": function (a,b) { return -astropy_sort_num(a, b); }\n",
       "});\n",
       "\n",
       "    $('#table4550050240-459586').dataTable({\n",
       "        order: [],\n",
       "        pageLength: 50,\n",
       "        lengthMenu: [[10, 25, 50, 100, 500, 1000, -1], [10, 25, 50, 100, 500, 1000, 'All']],\n",
       "        pagingType: \"full_numbers\",\n",
       "        columnDefs: [{targets: [0, 1, 5], type: \"optionalnum\"}]\n",
       "    });\n",
       "});\n",
       "</script>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# BitMasks class holds information about the mask planes for a given dataset. \n",
    "pdr2_mask = mask.BitMasks(data_release='s20a')\n",
    "\n",
    "pdr2_mask.show_table()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check whether a mask plane is available\n",
    "pdr2_mask.check('CLIPPED')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get the index of a mask plane in the \"library\"\n",
    "pdr2_mask.get_index('DETECTED')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Using the HSC mask plane \n",
    "\n",
    "* `mask` locates in the 2nd HDU of a HSC coadd image."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "bitmask = cutout_test[2].data\n",
    "\n",
    "mask_test = mask.Mask(bitmask, data_release='s20a')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Extract a single layer of mask \n",
    "\n",
    "* Use the `extract()` method, you can use the name of the mask plane or the bit value as input\n",
    "* Default output format is `np.uint8` (pixel value 1 means masked, 0 means unmasked).\n",
    "* The `show=True` option will return a `np.uint16` version of the mask array to display\n",
    "* You can display this layer of mask using the `display()` method."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "mask_1 = mask_test.extract('DETECTED')\n",
    "mask_2 = mask_test.extract(5)\n",
    "\n",
    "assert np.all(mask_1 == mask_2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_ = mask_test.display('DETECTED')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* It is also possible to extract or display multiple layers of masks at the same time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mask_3 = mask_test.extract(['DETECTED', 'INTRP', 'SAT'])\n",
    "\n",
    "_ = mask_test.display(['DETECTED', 'INTRP'], alpha_list=[0.9, 0.8])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Enlarge the mask by convolving it with a Gaussian kernel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_ = plotting.display_single(\n",
    "    mask_test.enlarge('DETECTED', sigma=2.0), stretch='linear',\n",
    "    cmap=mask_test.get_cmap('DETECTED'), alpha=0.8)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Combine multiple layers of masks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_ = plotting.display_single(\n",
    "    mask_test.combine(['DETECTED', 'INTRP']), stretch='linear',\n",
    "    cmap=mask_test.get_cmap('DETECTED'), alpha=0.8)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Remove one or multiple layers of masks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_ = plotting.display_single(\n",
    "    mask_test.clean(['DETECTED', 'INTRP', 'INEXACT_PSF', 'REJECTED', 'SENSOR_EDGE', 'CLIPPED']), stretch='linear',\n",
    "    cmap=mask_test.get_cmap('DETECTED'), alpha=0.8)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Identify and display the used mask planes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['INTRP', 'CR', 'DETECTED', 'BRIGHT_OBJECT', 'REJECTED', 'CLIPPED', 'SENSOR_EDGE', 'INEXACT_PSF']\n"
     ]
    }
   ],
   "source": [
    "# Names of the mask planes that are used \n",
    "print(mask_test.name_used())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 8 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_, mm = mask_test.show_used()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Demo figure"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "# Get table list from /Users/song/Dropbox/work/project/unagi/unagi/data/s20a_dud/s20a_dud_tables.fits\n",
      "# Retrieving cutout image in filter: i\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 8 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Download and show an example mask plane\n",
    "coord = SkyCoord(150.0913, 2.2059, frame='icrs', unit='deg')\n",
    "pdr2 = hsc.Hsc(dr='dr3', rerun='s20a_dud')\n",
    "\n",
    "cutout_test = hsc_cutout(coord, cutout_size=20.0 * u.arcsec, filters='i', archive=pdr2, \n",
    "                         use_saved=False, verbose=True, save_output=False, mask=True)\n",
    "\n",
    "mask_test = mask.Mask(cutout_test[2].data, data_release='s20a')\n",
    "_, mm = mask_test.show_used()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
